code: def test_random_state_n_jobs_0():
      n_jobs = 2
  
      hyper = Hyperactive()
      hyper.add_search(
          objective_function,
          search_space,
          n_iter=5,
          initialize={"random": 1},
          random_state=1,
          n_jobs=n_jobs,
      )
      hyper.run()
  
      results = hyper.search_data(objective_function)
  
      no_dup = results.drop_duplicates(subset=list(search_space.keys()))
      print("no_dup", no_dup)
      print("results", results)
  
      print(int(len(results) / n_jobs))
      print(len(no_dup))
  
      assert int(len(results) / n_jobs) != len(no_dup)
  
file_path: Hyperactive/tests/test_random_state.py
imports: import numpy
  from hyperactive import Hyperactive
label_desc: Use image node_id 2 for calling a global function with example usage: test_random_state_n_jobs_0() without return types